Pairwise Learning to Rank #194
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We want to contribute to MeTA by implementing Pairwise Learning to Rank.
This contribution implements pairwise learning to rank with binary classifiers. The ranker here mainly follows the Stochastic Pairwise Descent algorithm based on D. Sculley's paper on 'Large Scale Learning to Rank'.
Considering the project architecture, we implemented a new class in pairwise_letor.h in include/meta/learn/learntorank/. The implementation of this class is in src/learn/learntorank/pairwise_letor.cpp.
An example of how to use this class can be found in src/learn/tools/pairwise_letor_main.cpp
Authors: Mihika Dave, Anthony Huang, Rachneet Kaur